In this study, we aim to develop a predictive model for heart disease using machine learning algorithms. The dataset includes various demographic, clinical, and life style factors of individuals. Our goal is to accurately predict the likelihood of heart disease based on these factors ,ultimately contributing to early detection and personalized prevention strategies." Heart disease prediction has been afocal point in medical research due to its high prevalence and impact on public health. Various studies have investigated the use of machine learning algorithms to predict the likelihood of heart disease based on patient data.